作者
Benjamin Haaland, Mina Georgieva
发表日期
2018
期刊
Methods and Biostatistics in Oncology: Understanding Clinical Research as an Applied Tool
页码范围
93-124
出版商
Springer International Publishing
简介
Many oncology studies have time-to-event endpoints of interest, such as overall or progression-free survival. Frequently, time-to-event endpoints are subject to censoring, where an event time is only known to have occurred in a particular interval, mostly commonly right-censoring occurs, where it is only known that the event has not occurred up to some particular time”. In general, specialized techniques are required for the appropriate estimation and comparison of quantities related to time-to-event data, such as force of mortality, median time-to-event, or long-term survival probability.
This chapter provides an introduction to several of the most common problems related to the analysis of time-to-event data, and outlines a few typical approaches to handling these problems, as well as related analytic techniques. Topics discussed include time-to-event data and right-censoring, estimation of the survival …
学术搜索中的文章
B Haaland, M Georgieva - Methods and Biostatistics in Oncology: Understanding …, 2018